Image

    Trend and Co-occurrence Network of COVID-19 Symptoms From Large-Scale Social Media Data: Infoveillance Study

    February 2023 in “ JMIR. Journal of medical internet research/Journal of medical internet research ”
    Jiageng Wu, Lumin Wang, Yining Hua … Jie Yang
    Studysummary This study used social media data to identify more and milder COVID-19 symptoms than clinical research and to map symptom evolution over 27 months, highlighting differences between the Delta and Omicron periods.
    Automatically generated from the study's abstract, not written by a person, and not a review of the full paper. Not medical advice or a treatment recommendation. Read the original study, and consult a qualified healthcare professional before changing treatment. Full disclaimer
    Read the full study on jmir.org →
    Discuss this study in the Community →

    Research cited in this study 7

    1. Pathological Sequelae of Long-Haul COVID Nature Immunology · 2022
    2. More Than 50 Long-Term Effects of COVID-19: A Systematic Review and Meta-Analysis Scientific Reports · 2021
    3. The Antiandrogen Enzalutamide Downregulates TMPRSS2 and Reduces Cellular Entry of SARS-CoV-2 in Human Lung Cells Nature Communications · 2021
    4. Sex Differences in COVID-19: The Role of Androgens in Disease Severity and Progression Endocrine · 2020
    5. COVID-19 and Sex Differences: Mechanisms and Biomarkers Mayo Clinic Proceedings · 2020
    6. Androgenetic Alopecia Present in the Majority of Patients Hospitalized with COVID-19: The 'Gabrin Sign' Journal of The American Academy of Dermatology · 2020
    7. A Preliminary Observation: Male Pattern Hair Loss Among Hospitalized COVID-19 Patients in Spain – A Potential Clue to the Role of Androgens in COVID-19 Severity Journal of Cosmetic Dermatology · 2020